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Health · reviewed 2026-04-19

What are the odds of experiencing a major depressive episode in your lifetime?

Evidence quality 4.88/5

Eight-dimension review score against the quality rubric . Each dimension scored 1–5.

D1 Source grounding
5/5
D2 Source authority
5/5
D3 Arithmetic
5/5
D4 Uncertainty
5/5
D5 Scope
5/5
D6 Prose
5/5
D7 Perception honesty
4/5
D8 Caveat completeness
5/5
Average 4.88/5
Direct evidence

Lifetime probability · lifetime, US adult

1 in 4.9

21% lifetime chance

Most people underestimate this.

range 1 in 6.3 to 1 in 3.3

lifetime, US adult each band = 10× rarer → zoomed to your factors See full scale →
certain 1 in 1K 1 in 1M 1 in 1B
1 in 1.7 1 in 9.7

● your factors — click this risk ▾ to reveal

≈ As likely as

A single chair facing a window with muted grey light filtering through, flat vector illustration in subdued tones.

Perceived

There is no standard tracker for perceived lifetime depression risk, and the question is awkwardly reflexive — asking someone to estimate their own probability of a condition partially defined by distorted self-perception. When lifetime prevalence figures are surfaced in surveys, most respondents express surprise at the 1-in-5 number. The lay mental model places "clinical depression" as something that happens to a distinct minority — perhaps 5-10% of the population — rather than to a fifth of all adults. Stigma compresses the intuitive estimate downward; so does the ordinary human tendency to classify one's own past low periods as "just being sad" rather than as episodes that would meet diagnostic criteria.

Rough estimate: most adults would guess 5-10% lifetime, roughly half the actual figure

Source: editorial intuition, not polled

Actual

20.6% lifetime prevalence (DSM-5 MDD, NESARC-III)

US adults 18+, noninstitutionalized civilian (NESARC-III, 2012-2013)

Show derivation

Uses the Hasin et al. 2018 NESARC-III estimate of 20.6% lifetime prevalence of DSM-5 major depressive disorder among US adults as the headline figure. This is a direct survey-based lifetime prevalence — no compounding or hazard conversion required. The earlier NCS-R (Kessler et al. 2003) found 16.2% lifetime under DSM-IV criteria; the upward shift reflects both the DSM-5 bereavement-exclusion removal and secular trends in reporting and detection. NIMH reports that 21.0 million US adults (8.3%) had at least one major depressive episode in the past year (NSDUH 2021), consistent with the lifetime figure given recurrence and recovery patterns. The 0.206 point estimate is bracketed by the NCS-R lower bound (~0.16) and prospective-cohort estimates that place lifetime risk as high as 0.30 when accounting for recall bias in retrospective surveys (Moffitt et al. 2010 Dunedin cohort). Uncertainty band 0.16–0.30 reflects this methodological range.

Caveats: "Major depressive episode" is defined by DSM-5 criteria: five or more symptoms d…

"Major depressive episode" is defined by DSM-5 criteria: five or more symptoms during a two-week period, including depressed mood or loss of interest/pleasure, representing a change from previous functioning. The lifetime prevalence figure captures anyone who has ever met these criteria, not current cases. Retrospective surveys undercount lifetime episodes because people forget or reframe past episodes — the Dunedin longitudinal cohort (Moffitt et al. 2010) found prospective lifetime prevalence approaching 30% by age 32, suggesting the 20.6% NESARC-III figure is likely a floor. Conversely, survey-based diagnostic instruments may overcount mild episodes that a clinician would not diagnose. The 12-month prevalence (8-10% of US adults) is the more policy-relevant number for treatment-capacity planning; the lifetime figure is the right one for answering "how common is this, really?" Depression is treatable: roughly 60% of US adults with a past-year episode received some form of treatment in 2021 per NIMH, though treatment adequacy varies widely.

Risks at similar odds

Other risks with roughly the same likelihood — useful for calibration.

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Untreated depression

What fraction of US adults who develop major depression or an anxiety disorder receive no mental health treatment for at least a year?

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Alcohol use disorder

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Job loss & depression

What are the odds of developing depression after losing your job?

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Family caregiver probability

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Inheriting AUD risk

If a parent had alcohol use disorder, what are the odds you'll develop alcohol use disorder yourself?

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Compulsive sexual behavior

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Eating disorder

What is the lifetime risk of developing an eating disorder?

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Loneliness & health

What are the odds of chronic loneliness causing serious health harm over a lifetime?

Compare to:

If you or someone you know is struggling, contact the 988 Suicide & Crisis Lifeline (call or text 988) in the US, or visit findahelpline.com for international directories.

The most carefully measured estimate of lifetime major depressive disorder in the United States comes from the NESARC-III survey of 36,309 adults: 20.6%, or roughly 1 in 5. That figure, published by Hasin et al. in JAMA Psychiatry in 2018 using DSM-5 criteria, is higher than the earlier NCS-R estimate of 16.2% under DSM-IV, and almost certainly an undercount — the Dunedin longitudinal cohort, which followed participants prospectively rather than relying on recall, found prevalence approaching 30% by age 32. NIMH reports that 21 million US adults had at least one major depressive episode in the past year alone, representing 8.3% of the adult population. Depression is, by a wide margin, the most common serious mental health condition in the country, and the 1-in-5 lifetime number makes it more prevalent than a lifetime cancer diagnosis (~1 in 7 globally).

The gender gap is one of the most replicated findings in psychiatric epidemiology: lifetime prevalence runs roughly 26% for women and 15% for men, a ratio that holds across cultures, time periods, and diagnostic systems. Young adults aged 18-25 carry the highest past-year rates (18.6% per NIMH), reflecting the concentration of first-onset episodes in early adulthood. Childhood adversity roughly doubles lifetime risk, and first-degree family history roughly triples it — but the base rate is high enough that a large share of cases occur in people with no obvious predisposing factors. Nearly half of all lifetime cases are classified as severe.

What makes depression unusual in this catalogue is that it combines high prevalence with low perceived prevalence — most people dramatically underestimate how common clinical depression is, partly because stigma discourages disclosure and partly because the lay concept of “depression” is narrower than the diagnostic one. A 1-in-5 lifetime condition is not a rare disease; it is closer to the prevalence of needing glasses. The good news embedded in the NIMH data: roughly 60% of US adults with a past-year episode received some form of treatment, and treatment works — meta-analyses of antidepressants and psychotherapy both show clinically meaningful effect sizes for moderate-to-severe episodes. The population-level problem is less “we don’t know how to treat depression” and more “we underestimate how many people need treatment at any given time.”

Lifetime probability of depression: 20.6% (1 in 5). Lifetime probability of cancer: ~40%. Depression affects half as many people as cancer, yet receives roughly one-tenth the research funding per patient.

About 1 in 5 US adults will experience clinical depression in their lifetime (~21%). Cancer affects roughly 40%. Both are common; only one dominates the conversation about preparedness.

Read more → ⇄ compare

1 in 5 adults will experience major depression. 1 in 12 will die of heart disease. Depression is nearly twice as common, but heart disease gets the awareness campaigns, red ribbons, and workplace AED stations.

Read more → ⇄ compare

Claim ledger

Every number below is what each source reported, with the verbatim quote we relied on and how we arrived at our figure. Click any link to verify directly.

  1. [1] JAMA Psychiatry (Hasin DS, Sarvet AL, Meyers JL, et al.) — Epidemiology of Adult DSM-5 Major Depressive Disorder and Its Specifiers in the United States
    Epidemiology of Adult DSM-5 Major Depressive Disorder and Its Specifiers in the United States
    Statistic
    Lifetime prevalence of DSM-5 MDD: 20.6% overall; 26.1% women, 14.7% men; 12-month prevalence 10.4% overall
    Excerpt
    “"Of the 36,309 participants, the lifetime and 12-month prevalences of DSM-5 MDD were 20.6% (SE, 0.4) and 10.4% (SE, 0.3), respectively... Lifetime prevalence was 26.1% among women and 14.7% among men. Most lifetime MDD cases were moderate (39.7%) or severe (49.5%)." ”
    Source data from
    2018-04-01
    Accessed
    2026-04-19 · archived copy
    Calculation
    NESARC-III is a nationally representative face-to-face survey of 36,309 US civilian noninstitutionalized adults aged 18+ conducted April 2012 to June 2013. Lifetime prevalence of 20.6% is used directly as the normalized figure — no hazard compounding needed because this is already a lifetime estimate. The women-to-men ratio of 26.1%/14.7% ≈ 1.78 provides the female multiplier of ~1.7. DSM-5 criteria were applied retrospectively; the removal of the DSM-IV bereavement exclusion slightly inflates prevalence relative to the earlier NCS-R estimate.
    Independence
    NESARC-III (NIAAA/NIH) is an independent nationally representative survey with its own sampling frame, field operations, and diagnostic instrument (AUDADIS-5). Fully independent from the NCS-R (Harvard/NIMH) and from NSDUH (SAMHSA).
  2. [2] JAMA (Kessler RC, Berglund P, Demler O, et al.) — The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R)
    The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R)
    Statistic
    Lifetime prevalence of major depressive disorder: 16.2% (95% CI 15.1-17.3); 12-month prevalence 6.6% (95% CI 5.9-7.3)
    Excerpt
    “"The lifetime prevalence of DSM-IV MDD was 16.2% (95% confidence interval [CI], 15.1%-17.3%), representing approximately 32.6 to 35.1 million US adults... the 12-month prevalence was 6.6% (95% CI, 5.9%-7.3%), representing 13.1 to 14.2 million US adults." ”
    Source data from
    2003-06-18
    Accessed
    2026-04-19 · archived copy
    Calculation
    NCS-R is a face-to-face household survey of 9,090 respondents aged 18+ conducted 2001-2002 across the 48 contiguous US states. The 16.2% figure under DSM-IV criteria is the lower bound of the uncertainty range. The gap between NCS-R (16.2%) and NESARC-III (20.6%) partly reflects DSM-5 bereavement-exclusion removal, partly secular trend, and partly methodological differences in diagnostic interview instruments (CIDI vs AUDADIS-5).
    Independence
    NCS-R (Harvard/NIMH, Kessler) and NESARC-III (NIAAA, Hasin) are fully independent epidemiologic surveys with different sampling frames, field operations, and diagnostic instruments. Agreement to within 4 percentage points across different DSM editions and a decade apart is the strongest cross-validation available for US MDD prevalence.
  3. [3] National Institute of Mental Health (NIMH), NIH — Major Depression — Statistics
    Major Depression — Statistics

    See all 2 Likelier entries citing this source →

    Statistic
    An estimated 21.0 million US adults (8.3%) had at least one major depressive episode in the past year (2021); highest among 18-25 year olds (18.6%); females (10.3%) vs males (6.2%)
    Excerpt
    “"An estimated 21.0 million adults in the United States had at least one major depressive episode. This number represented 8.3% of all U.S. adults... The prevalence of major depressive episode was higher among adult females (10.3%) compared to males (6.2%)." ”
    Source data from
    2021-12-31
    Accessed
    2026-04-19 · archived copy
    Calculation
    NIMH republishes SAMHSA NSDUH data. The 8.3% past-year prevalence is consistent with the NESARC-III 12-month prevalence of 10.4% (NSDUH uses a screening instrument rather than a full diagnostic interview, which tends to yield slightly different estimates). The 21 million figure is the annual incidence/recurrence count; lifetime accumulation of this annual flow is what produces the 20.6% lifetime prevalence in the NESARC-III cohort study. Used as the federal government cross-check on the peer-reviewed lifetime figures.
    Independence
    NSDUH (SAMHSA) is a separate survey from both NESARC-III and NCS-R, with its own sampling design and screening instrument. The past-year estimate is consistent with but methodologically independent of the lifetime prevalence figures above.
  4. [4] World Health Organization — Depressive disorder (depression) — fact sheet
    Depressive disorder (depression) — fact sheet
    Statistic
    An estimated 3.8% of the global population experiences depression; 5% of adults globally; higher among women (6.9%) than men (4.6%)
    Excerpt
    “"An estimated 3.8% of the population experience depression, including 5% of adults... Depression is about 50% more common among women than among men. Worldwide, more than 10% of pregnant women and women who have just given birth experience depression." ”
    Source data from
    2023-03-31
    Accessed
    2026-04-19 · archived copy
    Calculation
    WHO reports point prevalence (proportion affected at any given time), not lifetime prevalence. The 5% adult point prevalence globally is consistent with US 12-month figures of 6.6-10.4% given that many episodes last less than a year and global detection rates are lower. Used here as the international cross-check on depression burden magnitude, not as the primary lifetime estimate.
    Independence
    WHO depression estimates derive from the Global Burden of Disease study (IHME) and WHO's own mental health surveys — fully independent from the US-based NESARC-III, NCS-R, and NSDUH pipelines.

412 risks with measured probability
1 in 10 1 in 100 1 in 1K 1 in 10K 1 in 100K 1 in 1M 1 in 10M 1 in 100M 1 in 1B certain rarer → Cosmetic surgery abroad risk — 1 in 10 Infant sugar/salt and adult disease — 1 in 10 Endometriosis — 1 in 10 Hair transplant Turkey risk — 1 in 10 Knee replacement — 1 in 10 Chronic painkillers — 1 in 10 Elderly abandonment — 1 in 9.1 Complete tooth loss — 1 in 9.1 Alzheimer's — 1 in 8.3 Sleep deprivation — 1 in 8.3 Smokeless tobacco — 1 in 8.3 Cycling w/o helmet — 1 in 8.0 Bruxism tooth damage — 1 in 7.7 Vision loss — 1 in 6.7 Hernia from lifting — 1 in 6.7 Hip fracture risk — 1 in 6.7 Regular drinking — 1 in 6.7 First heart attack — 1 in 5.9 Infertility — 1 in 5.7 5+ years paid LTC — 1 in 5.6 CTE (football) — 1 in 5.0 Major depression — 1 in 4.9 Hiking injury — 1 in 4.8 Infection from sharing food with child — 1 in 4.2 Lyme disease — 1 in 4.0 Loneliness & health — 1 in 3.8 Job loss & depression — 1 in 3.7 Inheriting AUD risk — 1 in 3.5 Alcohol use disorder — 1 in 3.4 Menopause CV risk acceleration — 1 in 3.0 Silent diabetes — 1 in 3.0 Flying with cold — 1 in 2.9 Tick illness (forest) — 1 in 2.9 Silent high cholesterol — 1 in 2.9 Grandparent loss in childhood — 1 in 2.8 Pacifier floor drop — 1 in 2.8 Drug-resistant infection — 1 in 2.6 No marrow match — 1 in 2.4 Nursing home admission — 1 in 2.2 Skipping dental checkups — 1 in 2.1 False-positive mammogram — 1 in 2.0 Regular smoking — 1 in 2.0 Travelers' diarrhea — 1 in 2.0 Adventure sports — 1 in 1.8 Family caregiver probability — 1 in 1.8 LTC need after 65 — 1 in 1.8 Widowhood probability — 1 in 1.7 Unprotected sex — 1 in 1.5 Silent hypertension — 1 in 1.3 Chronic back pain — 1 in 1.3 Hand hygiene — 1 in 1.0 Cancer (any) — 1 in 7.1 E-scooter no helmet — 1 in 4.5 E-bike no helmet — 1 in 4.0 Mishandled luggage — 1 in 3.7 Deer collision — 1 in 2.7 At-fault injury crash — 1 in 2.5 Flight cancellation — 1 in 1.8 Trip disruption: war or disaster — 1 in 1.7 Home burglary (global) — 1 in 9.1 Hitchhiking assault — 1 in 8.8 Mail check fraud — 1 in 7.7 Child sexual abuse — 1 in 6.8 Stalking — 1 in 6.2 Student sexual assault — 1 in 5.7 Domestic violence — 1 in 3.7 Night walk assault — 1 in 3.6 Bicycle theft — 1 in 2.9 Sexual assault — 1 in 2.9 Home burglary — 1 in 2.6 Sexual harassment (lifetime) — 1 in 1.6 Water scarcity — 1 in 2.5 Carrington-class solar storm — 1 in 1.9 WAIS tipping point — 1 in 1.1 Indoor cat escape harm — 1 in 10 Off-leash dog bite — 1 in 8.9 Rabbit dies in 4 years — 1 in 3.3 Dog bite (non-fatal) — 1 in 1.8 Hamster dies before teenager — 1 in 1.0 Vitamin D gap — 1 in 2.9 Undercooked food — 1 in 1.6 Raw meat cross-contamination — 1 in 1.4 Food left out — 1 in 1.2 AI voice scam — 1 in 2.9 Online scam loss — 1 in 2.5 Teen cyberbullying — 1 in 2.0 Kids & explicit content — 1 in 1.9 Data breach — 1 in 1.1 Miscarriage — 1 in 6.7 Teen suicide attempt — 1 in 5.6 Postpartum depression — 1 in 4.8 Painkiller before infant vaccination — 1 in 3.8 Excessive pregnancy weight — 1 in 2.6 Unvaxxed child & measles — 1 in 2.0 Elder fraud loss — 1 in 10 Pension fund collapse — 1 in 10 Personal bankruptcy — 1 in 10 Housing crash — 1 in 8.3 Crypto total loss — 1 in 6.7 IRS audit — 1 in 6.7 Visa overstay deportation — 1 in 5.6 Long term disability working age — 1 in 4.0 Student loan default — 1 in 3.8 Whistleblower retaliation — 1 in 3.2 Career obsolescence — 1 in 2.9 Forced job exit before retirement — 1 in 2.9 Retirement shortfall — 1 in 2.6 Divorce — 1 in 2.4 Burst pipe damage — 1 in 2.2 Workplace bullying — 1 in 2.1 Deportation (undocumented) — 1 in 1.8 Funeral cost shock — 1 in 1.8 Identity theft — 1 in 1.7 Credit card fraud — 1 in 1.5 School bullying — 1 in 1.5 Insurance claim denial — 1 in 1.4 Frontline soldier casualty — 1 in 1.3 Economic recession — 1 in 1.0 Stock market crash — 1 in 1.0 Hail roof damage — 1 in 3.0 Dry toilet paper harm — 1 in 100 Secondhand smoke — 1 in 91 Gaming disorder (adults) — 1 in 83 High-heel ER visit — 1 in 79 Child throwing object — 1 in 67 Medication reaction — 1 in 58 Cat litter toxoplasmosis — 1 in 48 Mental health LTD claim — 1 in 45 Drug overdose — 1 in 42 Benzo dependence — 1 in 40 Tap water lead — 1 in 40 Medication misuse — 1 in 35 Traumatic brain injury — 1 in 33 Hospital infection — 1 in 31 Air pollution — 1 in 29 End-stage kidney disease — 1 in 29 Traveler's diarrhea (water) — 1 in 26 Skiing injury — 1 in 26 Bipolar disorder — 1 in 23 Dental tourism complication — 1 in 20 Pet parasites — 1 in 20 Undiagnosed ADHD — 1 in 20 Adult-onset food allergy — 1 in 19 Indoor cooking smoke — 1 in 18 Non-Alzheimer's dementia — 1 in 17 Working-age disabling stroke — 1 in 17 Cannabis use disorder — 1 in 16 Stroke — 1 in 15 Parent death/disability — 1 in 14 Severe hearing loss — 1 in 14 Type 2 diabetes — 1 in 13 Appendicitis — 1 in 13 Untreated depression — 1 in 13 Untreated back pain disability — 1 in 13 Heart disease — 1 in 12 Medical error death — 1 in 12 Compulsive sexual behavior — 1 in 12 Eating disorder — 1 in 11 Hip replacement — 1 in 11 Kidney stones — 1 in 11 Sedentary lifestyle — 1 in 11 Salon infection — 1 in 11 Ovarian cancer — 1 in 91 Colorectal cancer — 1 in 77 Breast cancer — 1 in 59 Liver cancer — 1 in 59 Lung cancer — 1 in 56 Prostate cancer — 1 in 50 Melanoma (UV) — 1 in 29 Low-fiber CRC risk — 1 in 23 Red meat & CRC — 1 in 21 Charred meat & cancer — 1 in 20 Maintenance crash — 1 in 83 Driving on sedating meds — 1 in 77 Texting + driving — 1 in 56 Driving after cannabis — 1 in 53 Eating while driving — 1 in 53 Unbelted crash death — 1 in 53 Speeding 20% over limit — 1 in 48 Motorcycle no helmet — 1 in 45 Spaceflight (astronaut) — 1 in 42 Video watching + driving — 1 in 32 Drowsy driving — 1 in 26 E-scooter injury — 1 in 26 Cruise ship norovirus — 1 in 24 Driving at 0.10% BAC — 1 in 16 Catalytic converter theft — 1 in 83 Pickpocketed while traveling — 1 in 38 Stabbed in an assault — 1 in 37 Vehicle theft — 1 in 34 Street robbery / mugging — 1 in 26 Wrongful conviction — 1 in 24 Drink spiking — 1 in 17 Protest under autocracy — 1 in 12 AMOC collapse — 1 in 20 Sting anaphylaxis — 1 in 50 Cat collar injury — 1 in 25 Fish bone injury — 1 in 68 Restaurant food poisoning — 1 in 58 Vegetarian deficiency — 1 in 25 Intimate deepfake — 1 in 25 Social media problematic use — 1 in 13 Infant fall — 1 in 100 Childbirth death (SSA) — 1 in 55 Co-sleeping death — 1 in 43 Toddler stair fall — 1 in 37 Play swing & slide injury — 1 in 33 Autism diagnosis — 1 in 31 C-section complications — 1 in 29 Toy injury requiring ER (child) — 1 in 21 Preeclampsia — 1 in 20 Severe birth tearing — 1 in 17 Gestational diabetes — 1 in 13 Child fall head injury — 1 in 12 Sports betting financial ruin — 1 in 100 Fighter pilot death — 1 in 48 Commercial fishing career death — 1 in 45 Logging career death — 1 in 34 Dying without heir — 1 in 33 Medical bankruptcy — 1 in 25 Compulsive buying disorder — 1 in 20 Rental listing scam loss — 1 in 20 Mortgage foreclosure — 1 in 14 Musculoskeletal LTD claim — 1 in 14 Day-trading losses — 1 in 13 Extremist govt catastrophe — 1 in 13 Hurricane home destruction — 1 in 17 LASIK complications — 1 in 1,000 Infant pool submersion — 1 in 800 MS — 1 in 769 Workplace fatality — 1 in 690 Typhoid fever — 1 in 654 Unsafe imported products — 1 in 565 Brain aneurysm — 1 in 400 COVID-19 — 1 in 400 Fireworks injury — 1 in 385 Sickle cell disease — 1 in 365 Counterfeit medicine — 1 in 361 Spinal cord injury — 1 in 313 Childhood cancer diagnosis — 1 in 285 Next pandemic death — 1 in 208 Dengue (travel) — 1 in 200 Skipping daily showers — 1 in 200 Not scrubbing feet — 1 in 200 Marrow donation risk — 1 in 167 Schizophrenia — 1 in 143 Accidental fall — 1 in 135 Parkinson's — 1 in 125 Sudden death during exercise — 1 in 123 Suicide (US) — 1 in 121 Opioid addiction — 1 in 114 Tuberculosis (global) — 1 in 108 Radon cancer — 1 in 435 Testicular cancer — 1 in 250 Cervical cancer — 1 in 167 Pancreatic cancer — 1 in 125 Pedestrian death — 1 in 806 Motorcycle crash — 1 in 694 Boating drowning — 1 in 685 Driver kills pedestrian — 1 in 552 Phone-distracted walking injury — 1 in 400 EV battery fire — 1 in 333 Cyclist killed by car — 1 in 196 Hand-held phone call + driving — 1 in 143 Petrol car fire — 1 in 125 Self-driving car fatality — 1 in 115 Car crash — 1 in 105 Firefighter duty death — 1 in 455 Police duty death — 1 in 313 Homicide — 1 in 287 Pig-butchering scam — 1 in 106 Extreme heat — 1 in 333 Climate change death — 1 in 204 Swallowed bee/wasp — 1 in 500 Bat bite & rabies — 1 in 238 Mosquito-borne disease — 1 in 190 Food poisoning (global) — 1 in 317 Solar panel fire — 1 in 667 Untreated childhood scoliosis — 1 in 1,000 Child window fall — 1 in 855 Walker stair fall — 1 in 625 Baby walker injury — 1 in 455 Maternal mortality — 1 in 272 Untreated childhood flat feet — 1 in 250 Maternal age & birth defects — 1 in 200 Child death (<18) — 1 in 143 Caving career death — 1 in 167 EMS duty death — 1 in 794 Civilian war casualty — 1 in 499 Soldier in combat — 1 in 270 Mining career death — 1 in 214 Gambling financial ruin — 1 in 159 Wildfire home destruction — 1 in 120 Lightning home fire — 1 in 105 Malaria (travel) — 1 in 10,000 Infection from shared drink — 1 in 10,000 Chagas disease — 1 in 8,475 Wild berry fox tapeworm — 1 in 8,475 Schistosomiasis death — 1 in 6,667 Sudden death (young adult) — 1 in 3,922 Unsafe wiring — 1 in 3,390 Sepsis from wound — 1 in 2,857 Anesthesia awareness — 1 in 2,500 Heat stroke (outdoor) — 1 in 1,905 House fire — 1 in 1,818 Rabies from dogs — 1 in 1,449 Drowning — 1 in 1,379 Shallow-water diving SCI — 1 in 1,111 Choking — 1 in 1,099 EVALI vaping hospitalization — 1 in 1,064 Betel nut cancer — 1 in 1,290 Blood clot (flight) — 1 in 4,651 Killing a cyclist — 1 in 3,937 Teen road-crash death — 1 in 3,030 Child rear bike seat — 1 in 2,500 Child without restraint — 1 in 2,000 Fatal police encounter — 1 in 4,739 Honor killing — 1 in 2,381 Intimate-partner homicide — 1 in 1,767 Hurricane — 1 in 8,929 Drought famine death — 1 in 6,536 Blizzard death — 1 in 4,367 Earthquake — 1 in 3,802 Dog chocolate death — 1 in 2,000 Food poisoning (US) — 1 in 1,862 Fish mercury — 1 in 1,695 Phone/laptop battery fire — 1 in 1,136 SIDS — 1 in 7,143 Laundry pod ingestion — 1 in 6,494 Untreated infant hip dysplasia — 1 in 5,000 Pool drowning — 1 in 2,299 War (civilian) — 1 in 2,000 Fatal bee/wasp sting — 1 in 76,923 Anesthesia death — 1 in 50,000 Dog hot car death — 1 in 41,667 Anaphylaxis — 1 in 27,548 Chiropractic neck manipulation — 1 in 16,667 CO poisoning — 1 in 14,006 Hepatitis A (travel) — 1 in 12,500 Skipping allergy immunotherapy — 1 in 11,111 Acrylamide & cancer — 1 in 16,667 Bus crash — 1 in 100,000 Plane crash — 1 in 58,824 Child pedestrian (residential) — 1 in 45,455 Railroad crossing death — 1 in 20,704 Child bike trailer — 1 in 14,286 Acid attack — 1 in 89,286 Terrorism — 1 in 77,519 Child stranger abduction — 1 in 38,760 Stranger kidnapping — 1 in 35,211 Dowry death — 1 in 13,158 Accidental gun death — 1 in 11,299 Wildfire — 1 in 100,000 Tornado — 1 in 80,645 Tsunami — 1 in 52,632 Ocean drowning — 1 in 29,155 Flood — 1 in 20,202 Landslide death — 1 in 18,416 Supervolcano eruption — 1 in 12,376 Crocodile attack — 1 in 84,746 Bee sting — 1 in 78,927 Fatal scorpion sting — 1 in 26,110 Plastic container leaching — 1 in 16,949 Infant in car seat — 1 in 64,935 Bouncer chair fall — 1 in 60,606 Toddler choking — 1 in 50,000 Unsupervised infant choking — 1 in 50,000 Magnet ingestion — 1 in 12,048 Snorkeling death — 1 in 21,739 Pet in transport — 1 in 20,000 Landmine or UXO injury — 1 in 14,728 Vaccine reaction — 1 in 763,359 Aluminum & Alzheimer's — 1 in 169,492 Residential gas leak — 1 in 140,845 Child hot car death — 1 in 102,041 Glyphosate & cancer — 1 in 1,000,000 Teflon cookware cancer — 1 in 169,492 Roller coaster injury — 1 in 312,500 Cruise ship accident — 1 in 188,679 Ferry sinking — 1 in 133,333 Turbulence injury — 1 in 114,943 School shooting — 1 in 192,308 Mass shooting — 1 in 113,636 Nuclear accident — 1 in 833,333 Avalanche — 1 in 210,526 Lightning — 1 in 209,205 Snake bite — 1 in 884,956 Spider bite — 1 in 833,333 Hippo attack — 1 in 564,972 Dog bite — 1 in 142,045 Pesticide residue — 1 in 1,000,000 Dirty can illness — 1 in 200,000 PLA bioplastic harm — 1 in 169,492 Charger left plugged in — 1 in 200,000 Infant swing death — 1 in 714,286 Child blind cord strangulation — 1 in 416,667 Child plastic bag suffocation — 1 in 263,158 Button battery — 1 in 250,000 Inclined sleeper death — 1 in 238,095 Elevator/escalator death — 1 in 188,324 Japanese encephalitis (travel) — 1 in 2,000,000 Kid + front airbag — 1 in 10,000,000 Asteroid impact — 1 in 1,351,351 Banana spider eggs — 1 in 10,000,000 Shark attack — 1 in 5,681,818 Bear attack — 1 in 3,787,879 Wild berry poisoning — 1 in 2,222,222 Space debris hits property — 1 in 10,000,000 Piranha attack — 1 in 135,135,135 Phone at gas pump — 1 in 1,000,000,000 Phone on plane — 1 in 1,000,000,000 Alien contact — 1 in 169,491,525
Lottery jackpot 1 in 95,238